UiPath-SAIv1 Practice Questions

A.  

Enables the deployment, management, and improvement of ML models on UiPath Automation Cloud, and requires no infrastructure and no maintenance.

B.  

Enables the deployment, management, and improvement of ML models locally, and requires manual download of all the resources and then loading them into the node.

C.  

Enables the deployment of the full UiPath Automation Platform in the environment of choice and contains everything in one package that can be deployed in multi-node mode with automatic scaling and built-in H

A.  

D.  

Enables the deployment, management, and improvement of ML models locally with easy installation due to the automatic retrieval of the installer and associated artifacts from the internet.

A.  

Only ML packages retrained via pipelines change their major version.

B.  

Versioning is not supported for ML packages.

C.  

Only ML packages uploaded by users change their minor version.

D.  

Only ML packages retrained via pipelines change their minor version.

A.  

Name, description, and labels.

B.  

Name, description, and permissions.

C.  

Name and description.

D.  

Name and labels.

A.  

The trained-from-scratch general fields depend on the model version, while the ones that are pre-trained do not.

B.  

The trained-from-scratch general fields have better accuracy, while the pre-trained general fields have a longer training time.

C.  

The trained-from-scratch general fields are entirely user-trained, while the ones that are pre-trained are typically based on a set of standard or custom-defined rule

D.  

The trained-from-scratch general fields need to be normalized to be used in downstream automation, while the ones that are pre-trained can only be used in dashboards within the platform.

A.  

Job is completed with a "Faulted" state.

B.  

Exception Pop-up is displayed on the robot machine.

C.  

Job is completed with a "Stopped" state.

D.  

Job is completed with a "Successful" state.

A.  

Pre-trained. fine-tunable, and reviewed.

B.  

Pre-trained. custom training, and fine-tunable.

C.  

Custom training, fine-tunable, and reviewed.

D.  

Pre-trained, custom training, and reviewed.

A.  

To define the document types and the pieces of information targeted for data extraction (fields) for each document type.

B.  

To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.

C.  

To organize knowledge by using a controlled vocabulary to make it easier to find related information.

D.  

To apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.

A.  

To generate custom data fields for extraction.

B.  

To optimize extraction results and automatically validate them.

C.  

To create complex data manipulation operations.

D.  

To handle exceptions during the extraction process.

A.  

An incorrect prediction.

B.  

A lower confidence score.

C.  

Multiple label predictions.

D.  

A higher confidence score.

A.  

The DOM is a JSON object containing information such as name, content type, text length, number of pages, page rotation, detected language, content, and coordinates for the words identified in the file.

B.  

The DOM is a built-in artificial intelligence system that automatically understands and interprets the content and the type of documents, eliminating the need for manual data extraction.

C.  

The DOM is a feature that allows you to convert physical documents into virtual objects that can be manipulated using programming code.

D.  

The DOM is a graphical user interface (GUI) tool in UiPath Document Understanding that provides visual representations of documents, making it easier for users to navigate and interact with the content.